目录

前言：请求数据获取数据解析数据(筛选数据)保存数据连接数据库

前言：

开发环境：

python 3.8pycharm 2021.2 专业版

代码实现：

发送请求获取数据解析数据(筛选数据)保存数据连接数据库

请求数据

# 伪装
headers = {
    "cookie": "miid=4137864361077413341; tracknick=%5Cu5218%5Cu6587%5Cu9F9978083283; thw=cn; hng=CN%7Czh-CN%7CCNY%7C156; cna=MNI4GicXYTQCAa8APqlAWWiS; enc=%2FWC5TlhZCGfEq7Zm4Y7wyNToESfZVxhucOmHkanuKyUkH1YNHBFXacrDRNdCFeeY9y5ztSufV535NI0AkjeX4g%3D%3D; t=ad15767ffa6febb4d2a8709edebf63d3; lgc=%5Cu5218%5Cu6587%5Cu9F9978083283; sgcookie=E100EcWpAN49d4Uc3MkldEc205AxRTa81RfV4IC8X8yOM08mjVtdhtulkYwYybKSRnCaLHGsk1mJ6lMa1TO3vTFmr7MTW3mHm92jAsN%2BOA528auARfjf2rnOV%2Bx25dm%2BYC6l; uc3=nk2=ogczBg70hCZ6AbZiWjM%3D&vt3=F8dCvCogB1%2F5Sh1kqHY%3D&lg2=Vq8l%2BKCLz3%2F65A%3D%3D&id2=UNGWOjVj4Vjzwg%3D%3D; uc4=nk4=0%40oAWoex2a2MA2%2F2I%2FjFnivZpTtTp%2F2YKSTg%3D%3D&id4=0%40UgbuMZOge7ar3lxd0xayM%2BsqyxOW; _cc_=W5iHLLyFfA%3D%3D; _m_h5_tk=ac589fc01c86be5353b640607e791528_1647451667088; _m_h5_tk_enc=7d452e4e140345814d5748c3e31fc355; xlly_s=1; x5sec=7b227365617263686170703b32223a223264393234316334363365353038663531353163633366363036346635356431434c61583635454745506163324f2f6b2b2b4b6166686f4d4d7a45774e7a4d794d6a59324e4473784d4b6546677037382f2f2f2f2f77453d227d; JSESSIONID=1F7E942AC30122D1C7DBA22C429521B9; tfstk=cKKGBRTY1F71aDbHPcs6LYjFVa0dZV2F6iSeY3hEAYkCuZxFizaUz1sbK1hS_r1..; l=eBEVp-O4gnqzSzLbBOfwnurza77OIIRAguPzaNbMiOCPO75p5zbNW60wl4L9CnGVhsTMR3lRBzU9BeYBqo44n5U62j-la1Hmn; isg=BDw8SnVxcvXZcEU4ugf-vTadDdruNeBfG0WXdBa9WicK4dxrPkd97hHTxQmZqRi3",
    "referer": "https://s.taobao.com/search?q=%E4%B8%9D%E8%A2%9C&imgfile=&js=1&stats_click=search_radio_all%3A1&initiative_id=staobaoz_20220323&ie=utf8&bcoffset=1&ntoffset=1&p4ppushleft=2%2C48&s=",
    "sec-ch-ua": "" Not A;Brand";v="99", "Chromium";v="99", "Google Chrome";v="99"",
    "sec-ch-ua-mobile": "?0",
    "sec-ch-ua-platform": ""Windows"",
    "sec-fetch-dest": "document",
    "sec-fetch-mode": "navigate",
    "sec-fetch-site": "same-origin",
    "sec-fetch-user": "?1",
    "upgrade-insecure-requests": "1",
    "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/99.0.4844.82 Safari/537.36",
}

url = f"https://s.TB.com/search?q=%E4%B8%9D%E8%A2%9C&imgfile=&js=1&stats_click=search_radio_all%3A1&initiative_id=staobaoz_20220323&ie=utf8&bcoffset=1&ntoffset=1&p4ppushleft=2%2C48&s={44*page}"

response = requests.get(url=url, headers=headers)

获取数据

html_data = response.text

解析数据(筛选数据)

json_str = re.findall("g_page_config = (.*);", html_data)[0]
# 字符串 肯定不能用 字典方式键值对取值
# json_str: 字符串
# 类型转变: 转成字典类型 才能通过键值对方式去取值
json_dict = json.loads(json_str)
auctions = json_dict["mods"]["itemlist"]["data"]["auctions"]
for auction in auctions:
    raw_title = auction["raw_title"]
    pic_url = auction["pic_url"]
    detail_url = auction["detail_url"]
    view_price = auction["view_price"]
    item_loc = auction["item_loc"]
    view_sales = auction["view_sales"]
    nick = auction["nick"]
    print(raw_title, pic_url, detail_url, view_price, item_loc, view_sales, nick)

保存数据

连接数据库

import pymysql

def save_sql(title, pic_url, detail_url, view_price, item_loc, view_sales, nick):
    count = pymysql.connect(
        host="xxx.xxx.xxx.xxx",  # 数据库地址
        port=3306,  # 数据库端口
        user="xxxx",  # 数据库账号
        password="xxxx",  # 数据库密码
        db="xxxx"  # 数据库表名
    )
    # 创建数据库对象
    db = count.cursor()
    # 写入sql
    sql = f"insert into goods(title, pic_url, detail_url, view_price, item_loc, view_sales, nick) values ("{title}", "{pic_url}", "{detail_url}", {view_price}, "{item_loc}", "{view_sales}", "{nick}")"
    # 执行sql
    db.execute(sql)
    # 保存修改内容
    count.commit()
    db.close()

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